Results 31 to 40 of about 314,179 (266)
Multidimensional sparse recovery for MIMO channel parameter estimation [PDF]
2016 24th European Signal Processing Conference (EUSIPCO), 2016 Multipath propagation is a common phenomenon in wireless communication. Knowledge of propagation path parameters such as complex channel gain, propagation delay or angle-of-arrival provides valuable information on the user position and facilitates channel response estimation.
Christian Steffens +2 more
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Sample Size Requirements for Applying Diagnostic Classification Models
Frontiers in Psychology, 2021 Results of a comprehensive simulation study are reported investigating the effects of sample size, test length, number of attributes and base rate of mastery on item parameter recovery and classification accuracy of four DCMs (i.e., C-RUM, DINA, DINO ...
Sedat Sen, Allan S. Cohen
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Journal of Petroleum Exploration and Production Technology, 2023 The imbibition process can be considered one of the most important mechanisms during the production of naturally fractured formations. In this process, the hydrocarbon production in the matrix blocks surrounded by water-filled fractures can be described ...
Taha Zarin, Ali Sufali, Mojtaba Ghaedi
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Evaluation of partial least squares parameter recovery [PDF]
Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The conference for PLS Users, 2015 The purpose of this study was to evaluate the performance of Partial Least Squares under lessthan-ideal conditions selected to imitate real-world data. A simulation study with a 3×3×2×2 design was conducted. The design and data features of interest were sample size (50, 300, 1000), number of items per latent variable (3, 5, 7), degree of model ...
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Silva Fennica, 2013 The moment-based parameter recovery method (PRM) has not been applied in Finland since the 1930s, even after a continuation of forest stand structure modelling in the 1980s.
Jouni Siipilehto, Lauri Mehtätalo
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Improved iteratively reweighted least squares algorithms for sparse recovery problem
IET Image Processing, 2022 In this paper, some new algorithms based on the iteratively reweighted least squares (IRLS) method are proposed for sparse recovery problem. There are two important parameters in the IRLS method: a weighted parameter and a regularization parameter.
Yufeng Liu, Zhibin Zhu, Benxin Zhang
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Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Collapsing or Not? A Practical Guide to Handling Sparse Responses for Polytomous Items
MethodologyIn ordinal data analysis, category collapse is the process of combining adjacent response options to create fewer response categories than were originally measured.
Yale Quan, Chun Wang
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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Frontiers in Human NeurosciencePerceptual expertise is widely assumed to refine multisensory perception, yet the empirical literature appears inconsistent. Trained musicians show narrower audiovisual temporal integration windows and quicker segregation, whereas experienced wine ...
Alessandro Bortolotti +4 more
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